Demographics details for Taylor, MI vs Enon valley, PA
Population Overview
Compare main population characteristics in Taylor, MI vs Enon valley, PA.
Data | Taylor | Enon valley |
---|---|---|
Population | 62,258 | 295 |
Median Age | 37.9 years | 41.7 years |
Median Income | $59,352 | $56,875 |
Married Families | 33.0% | 50.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 6.2 | Data is updating |
Population Comparison: Taylor vs Enon valley
- In Taylor, the population is higher at 62,258, compared to 295 in Enon valley.
- The median age in Enon valley is higher at 41.7 years, compared to 37.9 years in Taylor.
- Taylor has a higher median income of $59,352 compared to $56,875 in Enon valley.
- In Enon valley, the percentage of married families is higher at 50.0%, compared to 33.0% in Taylor.
- Taylor has a higher poverty level at 12% compared to 0% in Enon valley.
- The unemployment rate in Taylor is higher at 6.2%, compared to 0.0% in Enon valley.
Demographics
Demographics Taylor vs Enon valley provide insight into the diversity of the communities to compare.
Demographic | Taylor | Enon valley |
---|---|---|
Black | 21 | Data is updating |
White | 63 | 74 |
Asian | 1 | 6 |
Hispanic | 8 | Data is updating |
Two or More Races | 7 | 20 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylor vs Enon valley
- A higher percentage of Black residents are in Taylor at 21% compared to 0% in Enon valley.
- The percentage of White residents is higher in Enon valley at 74% compared to 63% in Taylor.
- In Enon valley, the Asian population stands at 6%, greater than 1% in Taylor.
- The Hispanic community is larger in Taylor at 8% compared to 0% in Enon valley.
- The percentage of residents identifying as two or more races is higher in Enon valley at 20%, compared to 7% in Taylor.
- The percentage of American Indian residents is the same in both Taylor and Enon valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Taylor | Enon valley |
---|---|---|
Mental Health Not Good | 18.7% | 17.0% |
Physical Health Not Good | 12.7% | 11.4% |
Depression | 25.0% | 23.6% |
Smoking | 23.8% | 19.6% |
Binge Drinking | 18.0% | 20.0% |
Obesity | 34.4% | 35.1% |
Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Taylor vs Enon valley
- More residents in Taylor report poor mental health at 18.7% compared to 17.0% in Enon valley.
- Depression is more prevalent in Taylor at 25.0% compared to 23.6% in Enon valley.
- Smoking is more prevalent in Taylor at 23.8% compared to 19.6% in Enon valley.
- More residents engage in binge drinking in Enon valley at 20.0% compared to 18.0% in Taylor.
- Enon valley has higher obesity rates at 35.1% compared to 34.4% in Taylor.
- Disability percentages are the same in both Taylor and Enon valley at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Taylor | Enon valley |
---|---|---|
No Schooling | 1.0% (629) | 0.0% (Data is updating) |
High School Diploma | 22.8% (14,189) | 21.4% (63) |
Less than High School | 17.2% (10,693) | 8.5% (25) |
Bachelor's Degree and Higher | 10.6% (6,622) | 14.2% (42) |
Education Levels Comparison: Taylor vs Enon valley
- A higher percentage of residents in Taylor have no formal schooling at 1.0% compared to 0.0% in Enon valley.
- A higher percentage of residents in Taylor hold a high school diploma at 22.8% compared to 21.4% in Enon valley.
- More residents in Taylor have less than a high school education at 17.2% compared to 8.5% in Enon valley.
- In Enon valley, a larger share of residents have a bachelor's degree or higher at 14.2% compared to 10.6% in Taylor.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.